IEEE 2017 PROJECTS DOTNET

Data Mining:

DEFINITION

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Data Mining is the computational process of discovering patterns in the large data sets involving Artificial Intelligence, Machine Learning, Statistics and Database Systems. It’s main aim being “to extract information from a data set and transform it into a understandable structure for further usage”.

INTRODUCTION

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In general data mining is the process of analyzing data from different perspectives and summarizing it into useful information.

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It generally results in the discovery of new patterns in large data sets.

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It facilitates users to analyze data from different dimensions/perspectives, categorize it and summarise the relationships.

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It can also be stated as sorting through data to identify patterns and establish relationships.

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Companies use this technique to transform raw data into useful information.

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It makes use of techniques such as Artificial Intelligence, Neural networks, and advanced statistical tools to reveal trends, pattern and relationships.